Click Here to Download: https://ouo.io/yV4Gci Privacy-Preserving Data Mining Models and Algorithms By: Charu C. Aggarwal Publisher: Springer Print ISBN: 9780387709918, 0387709916 eText ISBN: 9780387709925, 0387709924 Copyright year: 2008 Format: PDF Available from $ 209.00 USD SKU 9780387709925 Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
